Moving object detection under free-moving camera
Jiman Kim, Guensu Ye, Daijin Kim · 2010
The detection of moving objects in complex environments with various types of motion is a difficult problem because the camera motion and the object motion are mixed. This paper proposes a moving object detection algorithm that uses motion clustering and classification from only two consecutive image frames captured by a free-moving camera. The proposed moving object detection has no assumption about the camera motion and the environmental conditions. The experimental results show that the proposed moving object detection is accurate within an accuracy of 7 pixels on the average.